This paper studies panoptic segmentation, a recently proposed task which segments foreground (FG) objects at the instance level as well background (BG) contents semantic level. Existing methods mostly dealt with these two problems separately, but in this paper, we reveal underlying relationship between them, particular, FG provide complementary cues to assist BG understanding. Our approach, named Attention-guided Unified Network (AUNet), is unified framework branches for and segmentation...

Recently, numerous handcrafted and searched networks have been applied for semantic segmentation. However, previous works intend to handle inputs with various scales in pre-defined static architectures, such as FCN, U-Net, DeepLab series. This paper studies a conceptually new method alleviate the scale variance representation, named dynamic routing. The proposed framework generates data-dependent routes, adapting distribution of each image. To this end, differentiable gating function, called...

Immunotherapy has achieved revolutionary success in clinics, but it remains challenging for treating hepatocellular carcinoma (HCC) characterized by high vascularization. Here, is reported that metal-organic framework-801 (MOF-801) can be employed as a stimulator of interferon genes (STING) through Toll-like receptor 4 (TLR4) not just drug delivery carrier. Notably, cytosine-phosphate-guanine oligodeoxynucleotides (CpG ODNs) and 5, 6-dimethylxanthenone-4-acetic acid (DMXAA) STING agonist...

Semantic occupancy perception is essential for autonomous driving, as automated vehicles require a fine-grained of the 3D urban structures. However, existing relevant benchmarks lack diversity in scenes, and they only evaluate front-view predictions. Towards comprehensive benchmarking surrounding algorithms, we propose OpenOccupancy, which first semantic benchmark. In OpenOccupancy benchmark, extend large-scale nuScenes dataset with dense annotations. Previous annotations rely on LiDAR...

Reservoir computing systems, a class of recurrent neural networks, have recently been exploited for model-free, data-based prediction the state evolution variety chaotic dynamical systems. The horizon demonstrated has about half dozen Lyapunov time. Is it possible to significantly extend time beyond what achieved so far? We articulate scheme incorporating time-dependent but sparse data inputs into reservoir and demonstrate that such rare "updates" actual practically enable an arbitrarily...

In recent years, the application of deep learning based on convolutional neural networks has gained great success in face detection. However, one remaining open challenges is detection small-scaled faces. The depth network can cause projected feature map for small faces to be quickly shrunk, and most approaches with scale invariant hardly handle less than 15×15 pixel To solve this problem, we propose a different scales detector (DSFD) Faster R-CNN. new improve precision while performing as...

Abstract Human umbilical cord mesenchymal stem cell‐derived exosomes (hucMSC‐exosomes) have been implicated as a novel therapeutic approach for tissue injury repair and regeneration, but the effects of hucMSC‐exosomes on coxsackievirus B3 (CVB3)‐induced myocarditis remain unknown. The object present study is to investigate whether CVB3‐induced (VMC). HucMSC‐exosomes were identified using nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM) Western blot. purified...

Excellent irradiation resistance is the basic property of nuclear materials to keep safety. The high-entropy design has great potential improve materials, which been proven in alloys. However, whether or not high entropy can also ceramics, especially mechanism therein still needs be uncovered. In this work, and helium (He) behaviors zirconium carbide (ZrC)-based ceramics (HECs), i.e., (Zr_0.2Ti_0.2Nb_0.2Ta_0.2W_0.2)C, were investigated...

Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the system more general-purpose application scenarios. However, existing methods devote designing specialized architectures or parameters specific tasks. These customized design paradigms lead fragmentation between various tasks, thus hindering uniformity models. Hence in this paper, we propose FreeSeg, a generic framework Unified, Universal and...

Multivariate Time Series (MTS) forecasting has gained significant importance in diverse domains. Although Recurrent Neural Network (RNN)-based approaches have made notable advancements MTS forecasting, they do not effectively tackle the challenges posed by noise and unordered data. Drawing inspiration from advancing Transformer model, we introduce a transformer-based method called STFormer to address this predicament. The utilizes two-stage capture spatio-temporal relationships issue of...

World models have demonstrated superiority in autonomous driving, particularly the generation of multi-view driving videos. However, significant challenges still exist generating customized In this paper, we propose DriveDreamer-2, which incorporates a Large Language Model (LLM) to facilitate creation user-defined Specifically, trajectory function library is developed produce trajectories that conform user descriptions. Subsequently, an HDMap generator designed learn mapping from road...

Our knowledge on zebrafish reproduction is very limited. We generated a gonad-derived cDNA microarray from and used it to analyze large-scale gene expression profiles in adult gonads other organs.We have identified 116638 expressed sequence tags (ESTs), 21% of which were isolated our lab. Following silico normalization, we constructed comprising 6370 unique, full-length cDNAs differentiating gonads. Labeled targets gonad, brain, kidney 'rest-of-body' both sexes hybridized onto the...

The ubiquity of scale-free networks in nature and technological applications the finding that such may be more difficult to synchronize than homogeneous pose an interesting phenomenon for study network science. We argue demonstrate that, presence some proper gradient fields, can synchronizable networks. structure fact arise naturally any weighted asymmetrical networks; based on this we propose a coupling scheme permits effective synchronous dynamics network. synchronization is verified by...

Zebrafish males undergo a "juvenile ovary-to-testis" gonadal transformation process. Several genes, including nuclear receptor subfamily 5, group A (nr5a) and anti-Müllerian hormone (amh), pathways such as Tp53-mediated germ-cell apoptosis have been implicated in zebrafish testis formation. However, our knowledge of the regulation this complex process is incomplete, much remains to be investigated about molecular network genes that control it. Using microarray-based analysis transforming...

We report on a novel collective state, occurring in globally coupled nonidentical oscillators the proximity of point where transition from system's incoherent to coherent phase converts explosive continuous. In such form quantized clusters, neither their phases nor instantaneous frequencies are locked. The oscillators' speeds different within but they characteristic cusped pattern and, more importantly, behave periodically time so that average values same. Given its intrinsic specular nature...

In this paper, we propose a robust visual detection-learning-tracking framework for autonomous aerial refueling of unmanned vehicles. Two classifiers (D-classifier and T-classifier) are defined in the proposed framework. The D-classifier is linear support vector machine (SVM) classifier trained offline detecting drogue object low-dimensional normalized local binary pattern feature to describe D-classifier. T-classifier state-based structured SVM online tracking object. A combination strategy...

Extracellular matrix (ECM) derived from decellularized tissues and organs has been used as a biological scaffold in variety of pre-clinical clinical applications. However, the lack mechanical properties shape controllability is drawback. In contrast, synthetic polymers can be easily engineered with good performance, but they have limited functionality. this study, we explored new method to electrospun cartilage-derived extracellular (cECM) polycaprolactone (PCL) composite nanofibrous...

In recent years, deep neural networks have achieved great success in the field of computer vision. However, it is still a big challenge to deploy these models on resource-constrained embedded devices such as mobile robots, smart phones and so on. Therefore, network compression for platforms reasonable solution reduce memory consumption computation complexity. this paper, novel channel pruning method based genetic algorithm proposed compress very Convolution Neural Networks (CNNs). Firstly,...

Abstract Immunotherapy shows immense promise for improving cancer treatment. Combining immunotherapy with radiotherapy provides a conspicuous advantage due to its enhanced abscopal effect. However, established immune tolerance mechanisms in the tumor microenvironment can hamper generation of sufficient Herein, type DNA nanocluster (DNAnc) that is self‐assembled by CpG‐ODNs‐loaded Y‐shaped double‐stranded vector based on unique complementary base‐pairing rules designed. The structure DNAnc...

Multi-attribute group decision-making plays an important role in modern politics, economy, culture, and life. The multi-attribute process is limited by policymakers’ experience, knowledge of uncertainty factors, such as weight information, difficult to directly provide. Moreover, many types complex rescue information are accurately describe numerical terms, which reduces the accuracy objectivity decision results, although fuzzy theory solve these problems provides a suitable tool. In order...

Arrhythmia of the heart is a dangerous and potentially fatal condition. The current widely used treatment implantable cardioverter defibrillator (ICD), but it invasive affects patient’s quality life. sonogenetic mechanism proposed here focuses ultrasound on cardiac tissue, controls endogenous stretch-activated Piezo1 ion channels focal region’s cardiomyocyte sarcolemma, restores normal rhythm. In contrast to anchoring implanted ICD lead at fixed position in myocardium, size region can be...

The complete synchronization and generalized (GS) of one-way coupled time-delay systems are studied. We find that GS can be achieved by a single scalar signal, its threshold for different delay times shows the parameter resonance effect, i.e., we obtain stable at smaller coupling if time driven system is chosen such it in with driving system. Near chaos synchronization, desynchronization dynamics displays periodic bursts period equal to These features easily applied recovery systems.